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Generalization Bounds

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TitleStatusHype
Stable Sample Compression Schemes: New Applications and an Optimal SVM Margin BoundCode0
Instance based Generalization in Reinforcement LearningCode0
Compressive Sensing and Neural Networks from a Statistical Learning Perspective—0
Toward Better Generalization Bounds with Locally Elastic Stability—0
Non-parametric Binary regression in metric spaces with KL loss—0
Failures of model-dependent generalization bounds for least-norm interpolation—0
Selective Classification via One-Sided PredictionCode0
Dissecting Hessian: Understanding Common Structure of Hessian in Neural Networks—0
Theoretical Analysis of Self-Training with Deep Networks on Unlabeled Data—0
A Note on High-Probability versus In-Expectation Guarantees of Generalization Bounds in Machine Learning—0
Lipschitz Bounded Equilibrium Networks—0
Benign overfitting in ridge regression—0
Complex-valued embeddings of generic proximity data—0
A Functional Perspective on Learning Symmetric Functions with Neural Networks—0
On Localized Discrepancy for Domain Adaptation—0
Tighter Generalization Bounds for Iterative Differentially Private Learning Algorithms—0
Functions with average smoothness: structure, algorithms, and learning—0
Predictive Value Generalization Bounds—0
Consistent Structured Prediction with Max-Min Margin Markov NetworksCode0
Relative Deviation Margin Bounds—0
Private Stochastic Non-Convex Optimization: Adaptive Algorithms and Tighter Generalization Bounds—0
A Limitation of the PAC-Bayes Framework—0
PAC-Bayesian Generalization Bounds for MultiLayer Perceptrons—0
Hausdorff Dimension, Heavy Tails, and Generalization in Neural NetworksCode0
Fine-Grained Analysis of Stability and Generalization for Stochastic Gradient Descent—0
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